Use Cases of Data Duplication
- Resolving identities scalable: The capacity to store and retrieve individual data sets in a compressed manner is essential for entity or identity resolution over big data collections. The use of duplication can streamline, accelerate, and enhance entity resolution procedures.
- Virtual Desktop Infrastructure (VDI): Companies may easily supply their employees computers by using Remote Desktop Services and other VDI servers. Such technology may be used by an organization for a number of purposes, such as remote access, consolidation, and application deployment.
- Marketing using big data: Businesses that conduct extensive data-collection marketing initiatives stand to gain a great deal from duplication. Big data marketing is ideal for duplication since it necessitates the archiving and storage of all acquired data, allowing for the lossless reduction of file and data sizes.
- Cloud storage backup: For businesses with large volumes of data stored in the cloud, cloud storage backups may be quite expensive. By reducing the file size of the data being saved, duplication can result in considerable cost savings.
What is Data Duplication?
Data duplication is a computational technique that removes multiple copies of data that repeat. If the method is successfully used, storage utilization may be increased, which might save capital cost because less storage media would be needed overall to fulfill storage capacity requirements.